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943 articles for “Reliability”
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Evaluating the Performance of Test Cricket Players Using Principal Component Analysis and the Weighted Average Method
Abstract: This study evaluates cricket player performance using Principal Component Analysis (PCA) and a weighted average approach. In order to achieve this, we analyzed detailed batting and bowling datasets from the International Cricket Council (ICC) to calculate player performance based on various performance indicators. The datasets included comprehensive statistics from multiple matches and tournaments, allowing for an in-depth evaluation of players’ skills and contributions. PCA ranked players according to their participation …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 20–30 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
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Development of an Anti-Slip Mechanism for Enhanced Seat Belt Safety
Abstract: A seat belt on the other hand is a safety feature that is an integral part of any vehicle that has the sole responsibility of holding passengers in case of any abrupt deceleration. However, it is important to note the fact that normal seat belts tend to slide off during the times of serious accidents and this can compromise the safety of the passengers. Present work is aimed at design …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 3, 2025 · pp. 1–13 Read article
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Development of a Polymer-Encapsulated IoT-Based Sensor for Thermal and Electrical Protection of EV Batteries
Abstract: Electric Vehicles (EVs) mark a critical shift toward sustainable transportation, with Battery Management Systems (BMS) playing a vital role in ensuring battery safety, reliability, and efficiency. The proposed BMS in this project incorporates real-time charge monitoring, temperature sensing, and fire detection capabilities to address safety concerns associated with lithium-ion batteries. Key features include current and voltage tracking, State of Charge (SoC) estimation, fault detection, and a user-friendly LCD interface. By …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 582–591 Read article
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Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications
Abstract: This study aims to compare temperature-regulated and uncontrolled charging methodologies to determine the most effective approach for optimizing battery performance while minimizing charging duration. The study assesses both constant current (CC) and temperature-controlled pulse charging (TRPC) methods. The battery temperature increases in direct proportion to the applied current during CC charging and cannot be controlled in the absence of external cooling systems. Key performance measures, such as the effect on …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 32–47 Read article
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Short Circuit Protection System for Electrical Vehicle (EV) Safety with GSM Module
Abstract: The safety of electric vehicles' (EVs') vital components against overheating has become a top priority for both manufacturers and users as EVs continue to grow in popularity worldwide. Important parts like batteries, power electronics, and charging systems run the risk of overheating, which can have a number of detrimental effects, including thermal runaway, which presents major safety risks like fires or explosions. Overheating can also lead to decreased efficiency, deteriorated …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 18–22 Read article
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Advancements in Zeolite Catalysis for Efficient Oil Refining and Sustainable Energy Production
Abstract: Fossil fuels remain the primary reliable and cost-effective energy source for maintaining the desired product quality. This dominance stems from advancements in petrochemistry and oil refining, driven by substantial investments in research and innovation. The exceptional efficiency of oil refining is largely attributed to the use of zeolites as catalysts, a breakthrough regarded as one of the most significant achievements in modern chemistry. Their applications span across several catalytic processes, …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 35–42 Read article
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Harnessing Sustainable Technologies: Advancing Renewable Energy for Climate Change Mitigation
Abstract: Climate change poses a significant threat to global ecosystems, economies, and human livelihoods, necessitating urgent action to transition toward sustainable technologies. Renewable energy systems have emerged as a cornerstone of this effort, offering clean, efficient, and scalable alternatives to fossil fuels. This paper explores the critical role of sustainable technologies in mitigating climate change, focusing on advancements in solar, wind, hydroelectric, and biomass energy systems. Key innovations, such as high-efficiency …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 11–18 Read article
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Wind Energy Technology and Power Braking Mechanism
Abstract: The development of advanced power braking mechanisms for wind turbines is the focus of this study, which first examines the principles of wind energy conversion, wind turbine design, and control systems before diving into the principles of power braking mechanisms, including mechanical, electrical, and hydraulic braking systems. The study also looks at the limitations and difficulties of current braking systems and discusses new developments in the field. Wind energy has …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 19–28 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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Continuous Glucose Monitoring Device
Abstract: Managing diabetes effectively requires regular monitoring of blood glucose levels, which is traditionally done through invasive methods like finger-prick tests. This work introduces a non-invasive blood glucose monitoring system utilizing the MAX30100 pulse oximeter sensor and Internet of Things (IoT) technology. The system estimates glucose levels by analyzing infrared (IR) light absorption properties, eliminating the need for direct blood sampling. Key components include the ESP32 microcontroller, cloud-based data storage, and …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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Care Taker Bot: A Smart Assistive Device for Elderly Care
Abstract: The growing demand for assistive technologies in healthcare and elderly care has driven the development of intelligent robotic systems. This research work describes the design, hardware integration, and software implementation of a caretaker bot built around the Raspberry Pi 4B module. The system combines essential components such as a speaker, a buzzer, a power bank for portability, a SIM card module for cellular connectivity, and a mobile application for real-time …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 14–22 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Smart Detection of Wild Animals in Residential Area
Abstract: In recent years, wild animals have been increasingly spotted in residential areas, posing risks to both humans and animals. The presence of these animals can cause accidents, damage to property, or even harm to the animals themselves. Therefore, it is important to have an effective method to detect wild animals in residential areas and ensure safety for everyone involved. This research focuses on creating a smart detection system that can …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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Adaptive Machine Learning Framework for Navigation Control of Autonomous Drones
Abstract: The rise of autonomous drones has expanded UAV applications across sectors like surveillance, delivery, agriculture, and rescue operations. However, traditional navigation systems face limitations in adapting to dynamic environments. This study proposes an AI-driven adaptive navigation framework that leverages real-time sensor data, reinforcement learning, and adaptive control strategies to enhance drone autonomy, scalability, and security. The system processes mission inputs, environmental data (from LiDAR, cameras, GPS, and weather sensors), and …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 1–7 Read article
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Design and Manufacturing of Suspension and Steering System of a F3 Vehicle
Abstract: The suspension and steering systems are critical subsystems of any formula-style racing vehicle, directly influencing its stability, handling, and driver safety. This paper focuses on the design, analysis, and manufacturing of suspension and steering systems for a Formula Student F3 vehicle. The primary objective is to develop a lightweight, reliable, and efficient design that complies with Formula Student competition rulebooks while ensuring optimum ride quality and performance. Using advanced computer-aided …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
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IoT-Based Manhole Detection and Monitoring System
Abstract: Urban drainage systems face numerous challenges, including blockages, harmful gas accumulation, and flooding, which pose risks to public safety and environmental health. This project introduces an IoT-enabled solution designed to monitor and address these issues efficiently. The system incorporates sensors to detect critical parameters such as gas levels, temperature, water presence, and nearby obstacles. A unique lifting mechanism ensures the hardware adapts to challenging conditions, maintaining uninterrupted operation. The system …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Quick Reach Alert System
Abstract: This project presents the design and implementation of a compact and low-cost GPS tracking system using the A9G module. The system is capable of tracking real-time location, sending emergency alerts, and providing audio surveillance. It includes an SOS button that, when pressed, immediately sends the user’s current GPS location via SMS to a predefined phone number. Additionally, the system allows remote audio monitoring through a microphone connected to the A9G …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article